https://github.com/panaversity/learn-agentic-ai
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern: OpenAI Agents SDK, Memory, MCP, Knowledge Graphs, Docker, Docker Compose, and Kubernetes.
https://github.com/panaversity/learn-agentic-ai
agentic-ai autogen crewai dapr docker docker-compose kubernetes langgraph langmem mcp openai openai-api
Last synced: 1 day ago
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Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern: OpenAI Agents SDK, Memory, MCP, Knowledge Graphs, Docker, Docker Compose, and Kubernetes.
- Host: GitHub
- URL: https://github.com/panaversity/learn-agentic-ai
- Owner: panaversity
- License: mit
- Created: 2024-06-12T07:50:04.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-04-13T12:48:01.000Z (2 days ago)
- Last Synced: 2025-04-13T13:36:13.672Z (2 days ago)
- Topics: agentic-ai, autogen, crewai, dapr, docker, docker-compose, kubernetes, langgraph, langmem, mcp, openai, openai-api
- Language: Jupyter Notebook
- Homepage:
- Size: 106 MB
- Stars: 1,266
- Watchers: 75
- Forks: 387
- Open Issues: 12
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-ChatGPT-repositories - learn-agentic-ai - Learn Agentic AI using OpenAI Agents SDK, Autogen, CrewAI, LangGraph, and Knowledge Graphs. (Openai)
README
# Learn Agentic AI
This repo is part of the [Panaversity Certified Agentic & Robotic AI Engineer](https://docs.google.com/document/d/15usu1hkrrRLRjcq_3nCTT-0ljEcgiC44iSdvdqrCprk/edit?usp=sharing) program. It covers AI-201 and AI-202 courses.
## Watch The NVIDIA CEO Jensen Huang Keynote at CES 2025
[](https://www.youtube.com/watch?v=k82RwXqZHY8 "NVIDIA CEO Jensen Huang Keynote at CES 2025")
Reference:
https://www.linkedin.com/posts/alexwang2911_aiagents-robotics-technology-activity-7282829390445453314-QLeS
**[OpenAI Agents SDK vs LangGraph vs Autogen vs CrewAI](https://composio.dev/blog/openai-agents-sdk-vs-langgraph-vs-autogen-vs-crewai/)**
The following chart clearly identifies why we are using OpenAI Agents SDK as our main framework for Agentic development:
[Abstraction and Power in AI Agent Frameworks: A Comparative Analysis of OpenAI Agents SDK, CrewAI, AutoGen, and LangGraph](https://g.co/gemini/share/e73d75492cf4)
Also listen to this discussion:
[Listen: AI Agent Frameworks: OpenAI, CrewAI, AutoGen & LangGraph - Decoding the Power](https://g.co/gemini/share/5e4123e6bfeb)
### AI-201: Fundamentals of Agentic AI - From Foundations to Autonomous Agents
AI 201 Fundamentals of Agentic AI we cover chapters: 00-06
Kickstart your journey into Agentic AI! This course provides a rapid yet comprehensive introduction to Conversational, Generative, and Agentic AI. You'll master the foundational concepts using **OpenAI Agents SDK**, then immediately build practical Conversational AI applications to understand human-AI interaction firsthand. The focus quickly shifts to Agentic Design Patterns, which you'll implement using OpenAI Agents SDK to create truly autonomous AI agents. You'll become proficient with OpenAI Agents SDK, developing agents ready for real-world tasks. Furthermore, you'll gain the unique skills to construct Model Context Protocol (MCP) servers and agents, enabling you to build next-generation augmented LLMs. Finally, we'll explore the groundbreaking potential of Agentic Payments, envisioning the future of AI in finance.
**[AI-201 Video Playlist](https://www.youtube.com/playlist?list=PL0vKVrkG4hWovpr0FX6Gs-06hfsPDEUe6)**
Note: These videos are for additional learning, and do not cover all the material taught in the onsite classes.
### AI-202: Advanced Agentic AI Engineering - Master Enterprise-Scale AI Agent Development
AI 202 Advanced Agentic AI we cover chapters: 06, 7a, 8, 8a, 9, 9a, 10, 10a, 11, and 12
Ready to engineer truly sophisticated AI agent systems? AI-202 builds upon your AI-201 foundation to propel you into advanced Agentic AI engineering. You'll master powerful frameworks like Microsoft AutoGen to construct complex agents for intricate tasks and advanced decision-making. Focusing on Agent-to-Agent communication and orchestration, you'll develop enterprise-ready multi-agent solutions. You'll build robust Model Context Protocol (MCP) servers, and then craft dynamic, user-centric agentic frontends with Next.js and TypeScript. The course culminates in a professional project where you'll design and deploy a complete enterprise-grade agentic solution, showcasing your mastery of cutting-edge AI technologies and your readiness for the forefront of the field.